Operations | Monitoring | ITSM | DevOps | Cloud

We are standing at the threshold of one of the most transformative technological shifts in modern enterprise history. AI is no longer on the horizon – it’s here, it’s powerful, and it’s already reshaping the way businesses think about productivity, creativity, and competitive advantage. OpenAI’s recent report, ‘AI in the Enterprise‘, offers a concise and thoughtful roadmap for leaders seeking to implement AI within their organizations.

At IBM’s Think conference this week, the company made a bold announcement: 94% of its HR functions are now handled by AI, a shift they claim will generate $3.5 billion in savings over the next two years. These are staggering numbers. And while the cynic in me can’t ignore that this announcement was made at what is, effectively, a sales conference – especially one that coincided with the launch of IBM’s AI Agent Store – the scale of those numbers deserves attention.

Cloud computing was already booming before 2020. But in the following two years, remote work flourished, and cloud adoption soared. The trend continues to accelerate — even faster now. Some companies have since returned to the office. Others are adopting hybrid models, balancing work-from-home and in-office. Yet, there’s more to the rise of cloud computing than remote working.

Monitoring doesn't always need to be complex. In this guide, we'll show you how to transform some raw logs into usable metrics using a lightweight, open-source setup. We'll also use the Telegraf agent to convert logs into Graphite metrics that you can easily visualize and alert on. This is ideal for system admins, DevOps beginners, or anyone interested in building more innovative monitoring pipelines from scratch.

SQL Server’s filtered index is one of the most effective features for improving query performance and reducing index maintenance. Whether you’re working with big tables that don’t have much data or queries that constantly filter by the same conditions, filtered indexes offer a smart way to focus only on the rows that matter most.

The threat landscape for cloud-native environments like Kubernetes is always on the move. Attackers continuously apply sophisticated techniques. Cryptojacking, the unauthorized use of computing resources to mine cryptocurrency, is a particularly concerning threat. Cryptojacking can lead to performance degradation, increased operational costs, and potential security breaches. Recent high-profile incidents underscore the importance of addressing these threats.

Monitoring complex PHP applications can be challenging. When systems span multiple services and environments, traditional logging approaches often fall short. OpenTelemetry offers a solution - an open-source, vendor-neutral framework that standardizes how we collect and export telemetry data. This guide covers practical implementation steps for DevOps engineers working with PHP applications.

PagerDuty. You’ve probably heard it mentioned during outages or seen it in tech forums. Maybe your DevOps team talks about it, or you found it while looking for ways to handle system failures. So, what is PagerDuty exactly? And why do teams rely on it? This post breaks down PagerDuty in simple terms, explores its key features and benefits, and shows you how to get started. We’ll also introduce you to a PagerDuty alternative that might work better for your team’s needs.